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Physical activity (PA) which has been produced as a result of flexing skeletal muscles, is corporal movements requiring energy consumption over basal level (Özer, 2006). PA contains activities which is a part of daily life. Regular PA has positive effect on the function of quite a few systems (Soyuer, 2008). It is a well known fact that regular physical activity reduces the risk of developing cardiovascular diseases, and helps controlling blood pressure in the cases of hypertension and preserving ideal body weight, and reduces the occurrence frequency of depression and stress, and helps formation of healthy bone and muscle ligament structure (Arıkan, 2008). This study was performed with the aim of determining the PA levels of the trainers working in Kastamonu with regard to gender and marital status variables. METHOD Kastamonu Directorate of Youth and Sports and Kastamonu Directorate of National Education. A total of 51 trainers participated the study voluntarily; 19 of them were female and their mean age was 26.53±9.08 years, their mean height was167.37±5.37 m, their mean weight was 60.37±7.30 kg and 32 of them were male and their mean age was 35.41±8.10, their mean height was 179.69±6.25 m, their mean weight was 83.94±12.11 kg. Because PA levels of the trainers working in the city center of Kastamonu were investigated, the number of subjects were 51. Physical Activity Assessment Questionnaire (PAAQ) that validity and reliability study of it was performed by Karaca et al. (2000) was used in order to determine PA levels of the trainers. SPSS 15.0 was used for analyzing the data and Cronbach alpha value was 0,926. For each activity, MET value provided by Ainsworth et al. (2000) as Metabolic Equivalent (MET) is used. According to them all activities are assigned an intensity level based on the rate of energy expenditure expressed as METs. Physical Activity Assessment Questionnaire (PAAQ) is composed of total 6 parts as descriptive information ( age, height, weight etc.), activities related with work, activities related with transportation, stair climbing, activities related with house, activities related with sports. Using this questionnaire, individuals’ MET/week (kcal/kg/week), kcal/week, MET/hour values can be calculated. In calculating these data, (frequency x time x intensity) are used. Frequency refers to how many times the activity is done a week; time refers to how much time it takes to do the activity (hour or minute); intensity refers to the MET value spent for the activity in 1 hour. The formula below is used in order to calculate MET/week values. MET/week (kcal/kg/week)=(the frequency of activity x the time of activity x the intensity of the activity) (Karaca, 2000). MET Value: MET (metabolic equivalent) is predetermined for each activity and is referred to as kcal/kg (Aınsworth, 1993). RESULTS Table 1: The Comparison of MET/Week Vales According to The Gender and Marital Status Variables INTRODUCTION When looked the Table 1. according to the gender, there was no significant difference in MET/week values of the all indexes (p>0.05) and also according to the marital status, there was significant difference in MET/week value of work index (p<0.05). According to the gender, there was no significant difference in MET/week values of the all indexes (p>0.05) and also according to the marital status, there was significant difference in MET/week value of work index (p<0.05). According to gender, it was found that PA levels of male trainers were found higher in work and sport indexes, PA levels of female trainers were found higher in home index. On the other hand, it was also determined that according to marital status, PA levels of single trainers were found higher than married trainers in work index. DISCUSSION In this study which was carried out in order to determine physical activity levels of trainers serving in Kastamonu province according to their genders and marital status, there is no significant difference in the MET/week values of all their indexes according to participating trainers’ variants with regards to gender and marital status (p>0.05). However, it was found out that in the case of home index, female trainers’ physical activity levels are higher than males’. Thomas et al. (2010) suggest as a result of their study that females are more active in house works. Besides, the study Bicalho et al (2010) carried out in Brazil suggest that men are more active in their work and spare times while women are more active in house works. Akandere et al. (2008) suggest in his study which he carried on kick box trainers that the time that is spend at work and at home differs according to genders, and that women spend less time at work. The reason behind this is considered to be arising out of that primarily women have to deal with house works (Arslan, 2003) or that women spend more time at home than men (Akandere, 2008). In our research, we have found out that male trainers’ physical activity levels are higher than women’s in work and sports indexes according to the gender variable. Richardson et al. (1995) carried out a study on men and women whose ages range between 20 and59 where he found out that men’s sports index averages are higher than women’s. The results of our study is similar to those of Richardson et al. Physical Activity Assessment Questionnaire (PAAQ) Reliability and Validity Study carried out by Karaca et al. (2000) indicates that that men are less active than women in terms of home index. According to marital status variable, a statistically significant difference was found in MET/week value in work index (p<0.05). In the work index, it can be seen that single trainers have higher physical activity levels than married trainers. Nevertheless, Hull et al. (2010), in their study where they examine the effect of marriage and having children on physical activity, stated that marriage does not have any effect on physical activity for young adults. Likewise, the difference on total index between married and single trainers found out in our study shows similarity with the study carried out by Hull et al. (2010). CONCLUSION In conclusion, it is seen that female trainers are more active in home index while male trainers are more active in work index. Moreover, we have found out that PA levels of single trainers in work index are higher than those of married trainers. The time that women spend on sports activities are less than men’s. Therefore, it is considered that acquiring the habit of regular physical activity and adopting exercises as a part of daily life will be quite efficient in protecting human health and reducing health risks to be faced in the future life. REFERENCES Akandere, M., Arslan, T., Taşkın, H. (2008). Kick Boks Antrenörlerinin Fiziksel Aktivite Düzeylerinin Değerlendirilmesi. Spormetre Beden Eğitimi ve Spor Bilimleri Dergisi, VI (4) 167-173. Ainsworth, B.E., Haskell, W.L., Leon, A.S. (1993). Compendium Of Physical Activities Classification Of Energy Costs Of Human Physical Activities, Medicine And Science In Sports Exercise. Ainsworth, B.E., Haskell, W.L., Whitt, M.C., Irwin, M.L., Swartz, A.M., Strath, S.J., O’Brien, W.L., Bassett, D.R.Jr., Schmitz, K.H., Emplaincourt, P.O., Jacobs, D.R.Jr., Leon, A.S. (2000). Compendium of Physical Activities: an update of activity codes and MET intensities. Medicine and Science in Sports and Exercise., 32(9): 498-516. Arıkan, İ., Metintaş, S., Kalyoncu, C. (2008). Genç Erişkinlerde Fiziksel Aktivite Düzeyinin Belirlenmesinde İki Metod Karşılaştırılması. Osmangazi TIp Dergisi, 30 (1): 19-28. Arslan, C., Koz, M., Gür, E., Mendeş, B. (2003). Üniversite Öğretim Üyelerinin Fiziksel Aktivite Düzeyleri ve Sağlık Sorunları Arasındaki İlişkinin Araştırılması. Fırat Üniversitesi Sağlık Bilimleri Dergisi, 17(4): 249-258. Bicalho, P.G., Hallal, P.C., Gazzinelli, A., Knuth, A.G., Velasquez-Melandez, G. (2010). Adult Physical Activity Levels and Associated Factors in Rural Communities of Minas Gerais State, Brazil. Revista de Saude Publica., 44(5): 884-893. Driskell J.A., Kim Y.N., Goebel K.J. (2005). Few Differences Found In The Typical Eating and Physical Activity Habits of Lower-Level and Upper-Level University Students. Journal of the American Dietetic Association, 105 (5): 798-801. Hull, E.E., Rofey, D.L., Robertson, R.J., Nagle, E.F., Otto, A.D., Aaron, D.J. (2010). Influence of Marriage and Parenthood On Physical Activity: A 2-Year Prospective Analysis. Journal of Physical Activity and Health, 7(5): 577-583. Karaca, A., Ergen, E., Koruç, Z. (2000). Fiziksel Aktivite Değerlendirme Anketi (FADA) Güvenirlik ve Geçerlik Çalışması. Hacettepe Journal of Sport Sciences, 11 (1-2-3-4), 17-28. Özer, K. (2006). Fiziksel Uygunluk. Nobel Yayın Dağıtım. Ankara, Turkey. Richardson, M.T., Ainsworth, B.E., Wu, H.C., Jacobs, D.R., Leon, A.S. (1995). Ability of The Atherosclerosis Risk In Communities (ARIC)/ Baecke Questionnaire To Assess Leisure-Time Physical Activity. International Journal of Epidemiology, 24 (4): 685-693. Soyuer, F., Soyuer, A. (2008). Yaşlilik ve Fiziksel Aktivite. İnönü Üniversitesi Tıp Fakültesi Dergisi, 15(3): 219- 224. Thomas, P.M.D., Costa, T.H.M.D, Silva E.F.D., Hallal, P.C. (2010). Factors Associated with Physical Activity In Adults In Brasilia, Central-West Brasil. Revista de Saude Publica., 44(5): 894-900. VariablesIndexesNMean RankSum of RanksUp GENDER Work Index Female1922,13420,50230,5000,152 Male3228,30905,50 Transportation Index Female1929,08552,50245,5000,254 Male3224,17773,50 Home Index Female1930,82585,50212,5000,075 Male3223,14740,50 Hobby Index Female1924,50465,50275,5000,490 Male3226,89860,50 Stair Climbing Index Female1924,13458,50268,5000,484 Male3227,11867,50 Sport Index Female1924,84472,00282,0000,668 Male3226,69854,00 Total İndex Female1927,37520,00278,0000,612 Male3225,19806,00 MARITAL STATUS Work Index Single2431,85764,50183,5000,008 Married2720,80561,50 Transportation Index Single2424,63591,00291,0000,533 Married2727,22735,00 Home Index Single2423,83572,00272,0000,326 Married2727,93754,00 Hobby Index Single2425,50612,00312,0000,779 Married2726,44714,00 Stair Climbing Index Single2429,02696,50251,5000,166 Married2723,31629,50 Sport Index Single2421,79523,00223,0000,057 Married2729,74803,00 Total Index Single2425,38609,00309,0000,777 Married2726,56717,00 1 School of Physical Education and Sports, Gazi University, Ankara, Turkey 2 School of Physical Education and Sports, Gazi University, Ankara, Turkey 3 National Sport Academy, Sofia, Bulgaria Mehmet GÜNAY 1 ; Pelin AKSEN CENGİZHAN 2 ; Mehmet ÖZSARI 3 THE DETERMINATION OF PHYSICAL ACTIVITY LEVELS OF TRAINERS IN KASTAMONU, TURKEY